Erasmus+  Incoming:

• We are looking forward to welcoming you at Chemnitz University of Technology. International students can apply for Erasmus+ through the International Office of TU Chemnitz. Here you can find useful information on Admission, Student Buddy Program, and German language Courses. For additional information on Erasmus+ Program, Faculty of Mathematics, and City of Chemnitz please consult our Flyer.

• For any further questions on the organization of your Erasmus+ stay at TU Chemnitz please contact the Erasmus+ coordinator of the Faculty of Mathematics Prof. Dr. Vladimir Shikhman via email vladimir.shikhman@mathematik.tu-chemnitz.de. In particular, you are welcome to discuss with him any issues regarding the curriculum in Mathematics at TU Chemitz. The following provides a list of courses in Mathematics taught in English in the current term. The archive link there allows you to explore courses in previous terms. Typically the courses are fixed one term in advance and comprise some of those listed below.

1. Nonlinear optimization
2. Algorithms for Convex Optimization
3. Numerical Methods for Ordinary Differential Equations (ODEs)
4. Numerical Methods for Partial Differential Equations (PDEs)
5. Numerical Linear Algebra
6. Stochastic Analysis
7. Stochastic Processes
8. Discrete Optimization
9. Computer Algebra
10. Optimization with partial differential equations
11. Optimization under Uncertainty
12. Randomized Algorithms and Online Optimization
13. Combinatorial Optimization
14. Infinite-Dimensional Optimization
15. Inverse Problems
16. Fourier Analysis
17. Introduction to Wavelets
18. Analysis and Numerics of Integral Equations
19. Hilbert space methods
20. Boundary Integral Methods
21. Orthogonal Polynomials
22. Distributions and Differential Operators
23. Time Series Analysis
24. Quantitative Finance
25. Asymptotic and Extreme Value Statistics
26. Mathematical Methods of Uncertainty Quantification
27. Methods of Algebraic Statistics
28. Graph Theory
29. Singularity Theory
30. Game Theory
31. Mathematics of Big Data
32. Algebraic Geometry
33. Convex and Toric Geometry
34. Low-dimensional geometry and topology